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Multiple Machine Types with Commonality

In: Spare Parts Inventory Control under System Availability Constraints

Author

Listed:
  • Geert-Jan Houtum

    (Eindhoven University of Technology)

  • Bram Kranenburg

    (Consultants in Quantitative Methods CQM B.V.)

Abstract

In Chap. 3 , we analyze a multi-item, single-location inventory model, and we assume that the installed base consists of machines of multiple machine types. The machine types have common components and a target aggregate mean waiting time is given per machine type. We assume that emergency shipments are being used when stockouts occur, and the inventory of spare parts is controlled by a basestock policy. The objective is to minimize inventory holding costs and emergency shipment costs subject to multiple aggregate mean waiting time constraints. We describe a greedy heuristic, a Dantzig-Wolfe heuristic, and the corresponding Dantzig-Wolfe lower bound for the optimal costs. We show that both heuristics are efficient and accurate, and we study the effect of commonality on the total costs. Finally, we present a case study at ASML.

Suggested Citation

  • Geert-Jan Houtum & Bram Kranenburg, 2015. "Multiple Machine Types with Commonality," International Series in Operations Research & Management Science, in: Spare Parts Inventory Control under System Availability Constraints, edition 127, chapter 0, pages 51-70, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7609-3_3
    DOI: 10.1007/978-1-4899-7609-3_3
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